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Type 1 Diabetes Risk in African-Ancestry Participants and Utility of an Ancestry-Specific Genetic Risk Score
- Onengut-Gumuscu, Suna;
- Chen, Wei-Min;
- Robertson, Catherine C;
- Bonnie, Jessica K;
- Farber, Emily;
- Zhu, Zhennan;
- Oksenberg, Jorge R;
- Brant, Steven R;
- Bridges, S Louis;
- Edberg, Jeffrey C;
- Kimberly, Robert P;
- Gregersen, Peter K;
- Rewers, Marian J;
- Steck, Andrea K;
- Black, Mary H;
- Dabelea, Dana;
- Pihoker, Catherine;
- Atkinson, Mark A;
- Wagenknecht, Lynne E;
- Divers, Jasmin;
- Bell, Ronny A;
- Youth, SEARCH for Diabetes in;
- Consortium, Type 1 Diabetes Genetics;
- Erlich, Henry A;
- Concannon, Patrick;
- Rich, Stephen S
- et al.
Published Web Location
https://doi.org/10.2337/dc18-1727Abstract
Objective
Genetic risk scores (GRS) have been developed that differentiate individuals with type 1 diabetes from those with other forms of diabetes and are starting to be used for population screening; however, most studies were conducted in European-ancestry populations. This study identifies novel genetic variants associated with type 1 diabetes risk in African-ancestry participants and develops an African-specific GRS.Research design and methods
We generated single nucleotide polymorphism (SNP) data with the ImmunoChip on 1,021 African-ancestry participants with type 1 diabetes and 2,928 control participants. HLA class I and class II alleles were imputed using SNP2HLA. Logistic regression models were used to identify genome-wide significant (P < 5.0 × 10-8) SNPs associated with type 1 diabetes in the African-ancestry samples and validate SNPs associated with risk in known European-ancestry loci (P < 2.79 × 10-5).Results
African-specific (HLA-DQA1*03:01-HLA-DQB1*02:01) and known European-ancestry HLA haplotypes (HLA-DRB1*03:01-HLA-DQA1*05:01-HLA-DQB1*02:01, HLA-DRB1*04:01-HLA-DQA1*03:01-HLA-DQB1*03:02) were significantly associated with type 1 diabetes risk. Among European-ancestry defined non-HLA risk loci, six risk loci were significantly associated with type 1 diabetes in subjects of African ancestry. An African-specific GRS provided strong prediction of type 1 diabetes risk (area under the curve 0.871), performing significantly better than a European-based GRS and two polygenic risk scores in independent discovery and validation cohorts.Conclusions
Genetic risk of type 1 diabetes includes ancestry-specific, disease-associated variants. The GRS developed here provides improved prediction of type 1 diabetes in African-ancestry subjects and a means to identify groups of individuals who would benefit from immune monitoring for early detection of islet autoimmunity.Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.
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